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Polyp detection and segmentation using Mask R-CNN: Does a deeper feature extractor CNN always perform better?
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Automatic polyp detection and segmentation are highly desirable for colon screening due to polyp miss rate by physicians during colonoscopy, which is about 25%. However, this computerization is still an unsolved problem ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
To decrease colon polyp miss-rate during colonoscopy, a real-time detection system with high accuracy is needed. Recently, there have been many efforts to develop models for real-time polyp detection, but work is still ...